Triple

T1612294
Position Surface form Disambiguated ID Type / Status
Subject Common Language Runtime E34639 entity
Predicate supportsLanguage P2177 FINISHED
Object F# E34603 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: F# | Statement: [Common Language Runtime, supportsLanguage, F#]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F#
Context triple: [Common Language Runtime, supportsLanguage, F#]
  • A. F# chosen
    F# is a functional-first, multi-paradigm programming language for the .NET platform, known for its strong type system and concise, expressive syntax.
  • B. F# Software Foundation
    The F# Software Foundation is a community-driven organization that supports and promotes the F# functional-first programming language and its ecosystem.
  • C. REPL (F# Interactive)
    REPL (F# Interactive) is F#’s interactive read–eval–print loop environment that lets developers write, execute, and experiment with F# code in real time.
  • D. OCaml
    OCaml is a statically typed functional programming language from the ML family, known for its powerful type system, pattern matching, and efficient native code compilation.
  • E. ReasonML
    ReasonML is a syntax and toolchain for the OCaml language that offers a JavaScript-friendly, type-safe alternative for building web and native applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098cd03081908c67f95fd54d2071 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad680e8c908190a62a0a2f92a2b335 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:28 p.m.